Mind Matters News and Analysis on Natural and Artificial Intelligence

Monthly Archive December 2018

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How Can Information Theory Help the Economy Grow?

New information is the true source of new wealth; everyone wins when we learn how to produce it more efficiently
What gives humans the ability to increase in prosperity, according to Eric Holloway, is our ability to “read” from Plato’s Library of new ideas, thus providing an ever-growing supply of side information that powers the economy. Read More ›
camera record on crane on stage entertainment industry
camera record on crane in production on studio and light to stage for entertainment industry

1: IBM’s Watson Is NOT Our New Computer Overlord

AI help, not hype: It won at Jeopardy (with specially chosen “softball” questions) but is not the hoped-for aid to cancer specialists
One problem that has dogged Watson has nothing to do with AI or medicine. The journalism around the introduction of projects like Watson is long on the Gee Whiz! An Electronic Brain! It Won at Jeopardy! And it is short on systematic inquiry as to outcomes versus goals. Read More ›
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2: AI Can Write Novels and Screenplays Better than the Pros!

AI help, not hype: Software can automatically generate word sequences based on material fed in from existing scripts. But with what result?

“AI rites reel gud!” Seriously, the idea is not new. Back in the 1940s, George Orwell (1903–1950) thought that a machine could write popular novels so long as no creative thinking was involved. Thus, in his 1984 police state world, one of the central characters has a job minding a machine that mass produces them. In the 1960s, some film experiments were done along these lines, using Westerns (cowboy stories). At the time, there were masses of formula-based film material to work with in this popular genre. But what does the product look and sound like? In 2016, Ars Technica was proud to sponsor “the first AI-written sci-fi script:” As explained in The Guardian, a recurrent neural network “was fed the Read More ›

Abstract Looking Into a Kaleidoscope Background Geometric Shapes
Abstract Looking Into a Kaleidoscope Background Geometric Shapes

In One Sense, Consciousness IS an Illusion…

We have no knowledge of the processes of our consciousness, only of the objects of its attention, whether they are physical, emotional, or abstract
When we think, we think about reality, not about the neurological processes by which we connect to reality. It is by keeping this understanding clearly in mind that we escape the solipsism that bedevils modern neuroscience. Read More ›
Afraid man in tinfoil helmet watches TV
Afraid man in tinfoil helmet watches TV, paranoia concept. UFO, conspiracy theory, brain theft protection, phobia

3: With Mind-Reading AI, You Will Never Have Secrets Again!

AI help, not hype, with Robert J. Marks: Did you read about the flap they had to cut out of a volunteer’s skull?

The Daily Mail is the United Kingdom’s second largest circulation daily. A headline from the webpage screams: No more secrets! New mind-reading machine can translate your thoughts and display them as text INSTANTLY! Not a lot of nuance there. The story continues on a tidal wave of hyperbole, • Researchers say they have developed a machine that can translate our thoughts •  The astonishing machine will analyse what you are thinking and display it as text ending with a charitable hope: •  Scientists hope that the machine can be used by people who are unable to speak The reality is that AI can read your mind for a few words repeated often if you have a flap cut out of your skull and Read More ›

Chess game business strategy concept
Chess game business strategy concept

Can Big Data Beat the Humans Who Compile It?

A computer pioneer bets no: Human intelligence augmented by artificial intelligence will always beat artificial intelligence alone. Is he right?
The bottom line is that Brooks’ Bet and his IA>AI inequality principle is a good reality check in the face of fears and hype about what AI will do in the future. Read More ›
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4: Making AI Look More Human Makes It More Human-like!

AI help, not hype, with Robert J. Marks: Technicians can do a lot these days with automated lip-syncs and smiles but what’s behind them?
This summer, some were simply agog over “Sophia, the First Robot Citizen” (“unsettling as it is awe-inspiring”) Read More ›
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Colorful toothpicks or pick-up sticks

How Can We Measure Meaningful Information?

Neither randomness nor order alone creates meaning. So how can we identify communications?
Dropping a handful of toothpicks on the table seems to produce a different sort of pattern than spelling out a word with toothpicks. Surprisingly, this intuitive distinction is harder to make in math and the sciences. Algorithmic specified complexity (ASC) enables us to distinguish them. Read More ›
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5: AI Can Fight Hate Speech!

AI can carry out its programmers’ biases and that’s all
Putting these kinds of decisions in the hands of software programs is not likely to promote vigorous and healthy debate. Read More ›
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Hole or tunnel in dark wall

6: AI Can Even Exploit Loopholes in the Code!

AI adopts a solution in an allowed set, maybe not the one you expected
One example the programmers offered of this type of gaming the system was a walking digital robot that moved more quickly by somersaulting than by using a normal walking gait. Read More ›
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Fake bugs on yellow background

7: Computers can develop creative solutions on their own!

AI help, not hype, with Robert J. Marks: Programmers may be surprised by which solution, from a range they built in, comes out on top
Sometimes the results are unexpected and even surprising. But they follow directly from the program doing exactly what the programmer programmed it to do. It’s all program, no creativity. Read More ›
The truck runs on the highway.
The truck runs on the highway with speed. 3d render and illustration.

8: AI Just Needs a Bigger Truck!

AI help, not hype, with Robert J. Marks: Can we create superintelligent computers just by adding more computing power?
Some think computers could greatly exceed human intelligence if only we added more computing power. That reminds me of an old story… Read More ›
Beef on a scale
Ground meat being weighed

What Do Thoughts Weigh?

Robert Marks thrashes out with Michael Medved why our minds are neither meat nor software

In a wide-ranging conversation, Robert Marks and Michael Medved tackle questions like what it means for something to be not just unknown but “unknowable.”

Read More ›
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A host of blue squid

9: Will That Army Robot Squid Ever Be “Self-Aware”?

AI help, not hype: What would it take for a robot to be self-aware?
The thrill of fear invites the reader to accept a metaphorical claim as a literal fact. Read More ›
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Is Salad Murder?

A Darwinian biologist wrestles with the significance of plant intelligence

If plants can sense things and communicate with each other, even though they lack a mind or brain, should they have rights? In an age of sometimes violent animal rights activism, that’s not an idle question. Plant physiologist Ulrich Kutschera, author of Physiology of Plants. Sensible Vegetation in Action (January 2019, German), talked about it in a recent interview: This is a serious issue which is related to plant intelligence. In April 2009, the Swiss Parliament discussed the topic of “plant ethics” and proposed to attribute to plants a kind of “Würde”, which can be translated as “dignity” (3). As a consequence, some radical plant ethics-activists have distributed T-shirts and other propaganda material with the slogan “Salad is murder”. Despite Read More ›

Artificial Intelligence Playing Go

10. Is AI Really Becoming “Human-like”?

AI help, not hype: Here’s #10 of our Top Ten AI hypes, flops, and spins of 2018
A headline from the UK Telegraph reads “DeepMind's AlphaZero now showing human-like intuition in historical 'turning point' for AI” Don't worry if you missed it. Read More ›
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Google Search: Its Secret of Success Revealed

The secret is not the Big Data pile. No, Google found a way to harness YOUR wants and needs

Google is one of the most widely misunderstood success stories of our time. Many of us equate Google with “Big Data,” that is, amassing huge quantities of data and then finding useful statistical patterns. But is that how it succeeded? In Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy, George Gilder criticizes Google primarily on two fronts: First, it is a “walled garden,” a great platform, but inherently isolated and closed. That is a point worth exploring, but not the focus here. The second point, the one I want to touch on, is that Big Data’s day has come and gone. Because Google is a Big Data company, its brightest days are behind it. Read More ›

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Liquid blue shape

The Human Mind from a Computer Science Perspective

The Blyth Institute’s new journal will offer a focus on artificial intelligence and philosophy as well as philosophical questions in mathematics and engineering
Communications is intended as a discussion forum for fresh ideas in a variety of areas, including philosophy of mind as seen from a computer science perspective. Read More ›
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Be Choosy About What You Automate!

Having automated many processes, I can assure you that that is the First Rule of Automation
The worst trap that people who are pursuing automation fall into is the desire to automate everything. That’s usually a road to disaster. Automation is supposed to save time and money, but it can wind up costing you both if you don't carefully consider what you automate. Read More ›
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Data graph on monitor showing correlation

Study Shows Eating Raisins Causes Plantar Warts

Sure. Because, if you torture a Big Data enough, it will confess to anything
Enormous data sets compiled by Big Data methods have a higher probability of meaningless correlations than smaller ones compiled by traditional methods. More than ever, common sense is needed. And common sense only comes from programmers writing their own common sense into the software. Read More ›